In this chapter, we performed classifications using decision trees. We explored the criteria used by several algorithms to perform the splits and described the features of these algorithms. We described how to examine the performance of the algorithms and discussed the importance of doing this on the training and testing datasets. In the next chapter, we will discuss multilevel regression in R.
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